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About the Role
The AI Kernels team builds high-performance GPU kernels and custom libraries essential for on-vehicle ML inference in ADAS and autonomous driving. We focus on enhancing the speed, reliability, and ease of deployment for core AI workloads within real-world vehicle constraints. This role offers the opportunity to directly influence how automated vehicles perceive and react to their environment by optimizing compiler and kernels work at the scale and safety standards of GM.
Responsibilities
- Design, implement, benchmark, and iterate on CUDA-based kernels and custom operators to optimize on-vehicle inference workloads.
- Build and improve tooling for profiling, debugging, and validating CUDA kernels and accelerator-backend code.
- Partner with AI Solutions, Compilers, and Architecture teams to define kernel roadmaps and project plans.
- Collaborate with cross-functional teams to deliver reusable, reliable, high-performance libraries into production.
- Maintain high technology standards for GPU kernel development and performance engineering through code review.
- Manage relationships with internal customers to ensure kernels and libraries meet real-world needs.
Requirements
- Minimum 2+ years of relevant industry experience or equivalent.
- BS, MS, or PhD in Computer Science or a related technical field.
- Excellent GPU programming skills in CUDA, with a strong understanding of parallel programming patterns and GPU architecture.
- Hands-on experience benchmarking, profiling, debugging, and optimizing accelerator libraries and kernels using tools like NSight.
- Strong background in software architecture, library design, and design patterns.
- Strong C++ programming skills, comfortable with large codebases.
- Solid background in system performance, high-performance computing, and/or architecture-aware optimizations.
- Strong communication skills and ability to work collaboratively.
- Excellent analytical and problem-solving skills.
Skills
- CUDA
- Parallel programming
- GPU architecture
- Benchmarking
- Profiling
- Debugging
- Optimization
- NSight
- Software architecture
- Library design
- Design patterns
- C++
- System performance
- High performance computing
- Architecture-aware optimizations
- Communication
- Analytical skills
- Problem-solving
- Tensor core programming
- CUTLASS
- CuTe
- ML model architectures
- Transformer-based models
- Low latency systems
- Real-time systems
- Accelerator software stack (drivers, runtimes, compilers)
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 2+ years of relevant industry experience or equivalent
Education Level
- BS, MS, or PhD in Computer Science or related technical field
Salary/Compensations
- $170,100 to $258,300
Benefits
- Medical
- Dental
- Vision
- Health Savings Account
- Flexible Spending Accounts
- Retirement savings plan
- Sickness and accident benefits
- Life insurance
- Paid vacation & holidays
- Tuition assistance programs
- Employee assistance program
- GM vehicle discounts
- Bonus Potential
- Relocation benefits
About the Company
- GM's vision is Zero Crashes, Zero Emissions, and Zero Congestion, guiding our work in autonomous and assisted driving.
- We are building advanced automated driving technologies, including Level 4 fully self-driving systems, to create safer, more sustainable, and accessible mobility.
- The AI Kernels & Compilers team focuses on transforming cutting-edge research into production-grade software for efficient and reliable operation on vehicles.
- We pioneer new approaches in model export, kernel development, and performance engineering to enhance situational awareness, reaction times, and vehicle behavior.
- Our mission is to ensure that compiler and kernels work directly influence how automated vehicles understand and react to the world at GM's scale and safety standards.
- We believe in making a choice every day to drive meaningful change through our words, deeds, and culture, fostering a sense of belonging for all employees.
- GM is committed to creating a workplace that is free of unlawful discrimination and genuinely fosters inclusion and belonging, believing this environment allows employees to thrive and develop better products.
Equal Opportunity
- General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
- All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
- General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580.